✅ Ready to join immediately and work at client location in Bangalore?
Apply now and be part of an innovative team driving scalable solutions!
Location: Bangalore, India
Employment Type: Full-Time
Experience: 5+ Years
Deployment: Client Location
Responsibilities
- Design and develop backend microservices using Java, Spring Boot, and Spring Cloud.
- Implement solutions aligned with design and architecture standards.
- Deliver tasks end-to-end ensuring stability, scalability, and performance.
- Write clean, efficient, and testable code with long-term maintainability.
- Participate in code reviews, peer testing, and CI/CD pipeline integration.
- Collaborate with senior developers to apply design patterns and refactor legacy modules.
- Work closely with QA, DevOps, and Product teams for seamless releases.
- Debug production issues, perform root cause analysis, and ensure system reliability.
- Use observability tools (logging, metrics, tracing) for monitoring and performance.
- Participate in on-call rotations and incident resolution.
- Integrate AI-assisted development tools for testing and optimization.
- Stay updated on Java releases, frameworks, and emerging technologies.
Skills & Qualifications
- Bachelor’s degree in Computer Science, IT, or related field.
- 5+ years of backend development experience in Java (8/11/17/21) and Spring Boot.
- Strong knowledge of OOP, REST APIs, Microservices, and Design Patterns.
- Familiarity with Kubernetes (AKS), Docker, and CI/CD tools (Azure DevOps, Jenkins, GitHub Actions).
- Experience with SQL/NoSQL databases, Kafka/JMS, and cloud fundamentals.
- Hands-on with Spring Batch for batch processing (retail systems experience preferred).
- Proficient in unit testing (JUnit, Mockito) and Git.
- Solid understanding of observability (Prometheus, Grafana, ELK/EFK, OpenTelemetry).
- Awareness of AI-assisted tools for code generation and static analysis.
- Strong grasp of secure coding, performance optimization, and automation.
- Excellent problem-solving, communication, and collaboration skills.
- Good to have: Elasticsearch experience for distributed search and log analytics.
- Retail systems knowledge is an added advantage.
- Strong command of English (verbal and written).